Patents by Inventor Dimitrious Pendarakis

Dimitrious Pendarakis has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10375101
    Abstract: A method includes collecting system calls and call parameters invoked by monitored applications for target computer systems. The system calls and call parameters are received from operating system kernels on the plurality of target computer systems. Sequences of systems calls and call parameters of the monitored applications are correlated among different target computer systems to deduce malicious activities. Remedial action(s) are performed in response to malicious activities being deduced as being malicious by the correlating. Another method includes determining that network activity at a specific time is deemed to be suspicious. Using IP addresses involved in the suspicious network activity, computer system(s) are determined that are sources of the suspicious network activity. Based on the specific time and the determined computer system(s), application(s) are determined that are executing on the determined computer system(s) that are causing the suspicious network activity.
    Type: Grant
    Filed: March 7, 2016
    Date of Patent: August 6, 2019
    Assignee: International Business Machines Corporation
    Inventors: Stefan Berger, Yangyi Chen, Xin Hu, Dimitrious Pendarakis, Josyula Rao, Reiner Sailer, Douglas Lee Schales, Marc Stoecklin
  • Publication number: 20160261624
    Abstract: A method includes collecting system calls and call parameters invoked by monitored applications for target computer systems. The system calls and call parameters are received from operating system kernels on the plurality of target computer systems. Sequences of systems calls and call parameters of the monitored applications are correlated among different target computer systems to deduce malicious activities. Remedial action(s) are performed in response to malicious activities being deduced as being malicious by the correlating. Another method includes determining that network activity at a specific time is deemed to be suspicious. Using IP addresses involved in the suspicious network activity, computer system(s) are determined that are sources of the suspicious network activity. Based on the specific time and the determined computer system(s), application(s) are determined that are executing on the determined computer system(s) that are causing the suspicious network activity.
    Type: Application
    Filed: March 7, 2016
    Publication date: September 8, 2016
    Inventors: Stefan Berger, Yangyi Chen, Xin Hu, Dimitrious Pendarakis, Josyula Rao, Reiner Sailer, Douglas Lee Schales, Marc Stoecklin
  • Publication number: 20150264077
    Abstract: A method includes collecting system calls and call parameters invoked by monitored applications for target computer systems. The system calls and call parameters are received from operating system kernels on the plurality of target computer systems. Sequences of systems calls and call parameters of the monitored applications are correlated among different target computer systems to deduce malicious activities. Remedial action(s) are performed in response to malicious activities being deduced as being malicious by the correlating. Another method includes determining that network activity at a specific time is deemed to be suspicious. Using IP addresses involved in the suspicious network activity, computer system(s) are determined that are sources of the suspicious network activity. Based on the specific time and the determined computer system(s), application(s) are determined that are executing on the determined computer system(s) that are causing the suspicious network activity.
    Type: Application
    Filed: September 30, 2014
    Publication date: September 17, 2015
    Inventors: Stefan Berger, Yangyi Chen, Xin Hu, Dimitrious Pendarakis, Josyula Rao, Douglas Lee Schales, Reiner Sailer, Marc Stoecklin